47 Pandas jobs available for remote work from home. Apply for positions such as Senior Security Engineer, Threat Detection and Response, Data Annotation Specialist , Machine Learning Engineer (3D Vision), and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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The role involves performing security incident investigations, hunting for threats, and building automation and detection models to mitigate risks. You will also collaborate with cross-functional teams to improve infrastructure visibility and respond to large-scale security threats.
Design and automate quality assurance workflows while managing annotation projects and freelance annotators. Analyze project data to provide actionable insights and maintain clear annotation guidelines.
Develop, train, and deploy advanced machine learning models for complex spatial analysis of 3D human body scans. Collaborate with cross-functional teams to integrate these solutions into production for healthcare and sports performance applications.
![Smart Working Solutions is hiring for remote Lead Data Engineer (Contract, Full-Time) [HR208] (UK)](/assets/08150176-369d-44db-a4a7-778571334971.png){kind=small}
You will architect and lead the data infrastructure for an AI-powered property management platform, managing real-time pipelines and data storage. Additionally, you will define engineering standards and help build the data team as the first senior hire.
Analyze product usage and customer behavior across the LeadGen suite to identify trends, friction points, and growth opportunities. Partner with Product Managers to size opportunities, validate hypotheses, and build dashboards that track key product metrics.
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You will architect and scale data infrastructure, including real-time pipelines and vector databases, to support an AI-driven property management platform. Additionally, you will act as the founding data hire to establish engineering standards, best practices, and the data team culture.
Design, develop, and maintain data engineering solutions using Python and Azure services while building scalable pipelines for data processing. Collaborate with multidisciplinary teams to develop business-oriented solutions and integrate internal and external systems via APIs.
You will own the end-to-end research loop, from raw data and desk ideas to building, training, and validating deep-learning models. You are responsible for managing your own compute infrastructure and ensuring models are effectively integrated into daily trading operations.
The Full Stack Engineer will maintain and enhance applications that integrate AI, data analytics, and big data. They will collaborate on architecting new solutions and managing CI/CD pipelines across cloud platforms.
You will architect and build scalable data infrastructure to support AI-driven operational platforms for property management. This role involves defining data engineering standards, managing real-time pipelines, and collaborating with cross-functional teams to translate data capabilities into product decisions.
The LINC Fellow will provide subject matter guidance, tutoring, and assessment marking for a group of 25-30 online students. They are also responsible for managing discussion forums and providing proactive, personalized support to students.
You will design, build, and maintain the calculation logic and infrastructure for the Economics engine using modern Python. You will own features end-to-end, from scoping and design through to deployment and monitoring on cloud infrastructure.
Design, implement, and maintain web scrapers to collect alternative datasets while performing data cleaning and transformation. Collaborate with cross-functional teams to build efficient data processing workflows and maintain alerting systems for data integrity.
The Data Scientist will design and develop advanced machine learning models and algorithms to extract insights from large HR datasets. They are responsible for the end-to-end MLOps lifecycle, including research, deployment, and communicating complex findings to non-technical stakeholders.
The Data Scientist will analyze and interpret telemetry data from various sources to define business KPIs. They will also be responsible for manipulating datasets and applying machine learning techniques to support business objectives.
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You will design and evolve backend systems for real-time collaborative document editing while managing data persistence and event-driven pipelines. Additionally, you will contribute to the reliability and observability of a large fleet of Python microservices and support AI-powered document workflows.
The developer will design, develop, and maintain scalable data pipelines using Python and Databricks while managing cloud environments on Azure. They will also handle API ingestion, automation, and collaborate with cross-functional teams to deliver solutions using Agile methodologies.
You will develop and implement statistical and machine learning models to transform behavioral data into validated digital biomarkers. Additionally, you will own the full machine learning lifecycle, from exploratory analysis and feature engineering to production deployment and monitoring.
You will teach data engineering fundamentals to beginners using Python, SQL, and ETL workflows while supporting participants in practical projects. Additionally, you will collaborate with learning teams to improve curriculum content and assist students in their transition to tech roles.
You will lead threat detection and incident response efforts by investigating security incidents and building automated detection models. You will also collaborate with cross-functional teams to mitigate threats and improve overall security infrastructure.
The Solutions Engineer will lead technical discovery, deliver product demonstrations, and manage the end-to-end implementation process for new and existing customers. They will serve as a technical expert, collaborating with delivery teams to configure workflows and address client requirements.
Partner with account executives to manage the full technical sales cycle, including discovery, solution design, and customized demonstrations. Lead technical discussions with customer stakeholders and implement complex solutions involving APIs, integrations, and automation.
Partner with Account Executives to manage the full technical sales cycle, including discovery, solution design, and outcome-driven demos. Proactively identify deal risks and build AI-powered workflows to improve team efficiency.
Prepare business analyses and draw actionable conclusions from data while designing and maintaining dashboards for stakeholders. Collaborate with other departments on data-driven projects using SQL, BigQuery, and Python.
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![CI&T is hiring for remote [Job - 30760] Master Data Developer, Colombia](/assets/96be70cc-b65f-449c-9299-d619efa70efb.png){kind=small}
The Data Developer will design, build, and maintain robust ETL/ELT pipelines and modern data lake architectures using cloud-native AWS services. They will also collaborate with cross-functional teams to optimize data processing workflows and ensure data integrity and compliance.
The Data Developer will design, build, and maintain robust ETL/ELT pipelines and modern data lake architectures using cloud-native AWS services. They will also collaborate with cross-functional teams to ensure data integrity, optimize performance, and support data-driven decision-making.
The Senior PV Engineer will maintain and improve PV performance modeling methodologies and tools to support the optimization of solar tracker technology. They will also conduct R&D on new control enhancements, validate modeling improvements with third parties, and prepare technical documentation for internal and external stakeholders.
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